The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image

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answerhappygod
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The standard deviation ‘σ’ at any point in image averaging: σḡ(x, y) = 1/√K σɳ(x, y), where ḡ(x, y) is the average image

Post by answerhappygod »

a) Increase in K, decreases the noise of pixel values
b) Increase in K, increases the noise of pixel values
c) Decrease in K, decreases the noise of pixel values
d) Decrease in K, increases the noise of pixel values
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